Phase 1.1 — user_language_api.py: Stores native language preference
per user (TR/AR/UK/RU/PL/DE/EN). Onboarding page with flag-based
language selection for students and parents.
Phase 1.2 — translation_service.py: Batch-translates vocabulary words
into target languages via Ollama LLM. Stores in translations JSONB.
New endpoint POST /vocabulary/translate triggers translation.
Phase 2.1 — Parent Portal (/parent): Simplified UI in parent's native
language showing child's learning progress. Daily tips translated.
Phase 2.2 — Parent Quiz (/parent/quiz/[unitId]): Parents can quiz
their child on vocabulary WITHOUT speaking DE or EN. Shows word in
child's learning language + parent's native language as hint.
Answer hidden by default, revealed on tap.
All UI text translated into 7 languages (DE/EN/TR/AR/UK/RU/PL).
Arabic gets RTL layout support.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
audio_service.py: Connects to compliance-tts-service (Piper TTS,
MIT license) for high-quality German (Thorsten) and English (Lessac)
voices. Audio cached as MP3 on first request.
vocabulary_api.py: New endpoints:
- GET /vocabulary/word/{id}/audio/{lang} — word pronunciation
- GET /vocabulary/word/{id}/audio-syllables/{lang} — slow syllable-by-syllable
Anton App analysis: identified 5 features to adopt (star system,
games as rewards, progress bars, listening exercises, matching exercises).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Trigram extension and index are now created in a separate try/catch
so table creation succeeds even without pg_trgm. Search falls back
to ILIKE when trigram functions are not available.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Strip SQLAlchemy dialect prefix from DATABASE_URL for asyncpg.
Set search_path via server_settings on pool creation.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Strategic pivot: Studio-v2 becomes a language learning platform.
Compliance guardrail added to CLAUDE.md — no scan/OCR of third-party
content in customer frontend. Upload of OWN materials remains allowed.
Phase 1.1 — vocabulary_db.py: PostgreSQL model for 160k+ words
with english, german, IPA, syllables, examples, images, audio,
difficulty, tags, translations (multilingual). Trigram search index.
Phase 1.2 — vocabulary_api.py: Search, browse, filters, bulk import,
learning unit creation from word selection. Creates QA items with
enhanced fields (IPA, syllables, image, audio) for flashcards.
Phase 1.3 — /vocabulary page: Search bar with POS/difficulty filters,
word cards with audio buttons, unit builder sidebar. Teacher selects
words → creates learning unit → redirects to flashcards.
Sidebar: Added "Woerterbuch" (/vocabulary) and "Lernmodule" (/learn).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Phase 3.2 — MicrophoneInput.tsx: Browser Web Speech API for
speech-to-text recognition (EN+DE), integrated for pronunciation practice.
Phase 4.1 — Story Generator: LLM-powered mini-stories using vocabulary
words, with highlighted vocab in HTML output. Backend endpoint
POST /learning-units/{id}/generate-story + frontend /learn/[unitId]/story.
Phase 4.2 — SyllableBow.tsx: SVG arc component for syllable visualization
under words, clickable for per-syllable TTS.
Phase 4.3 — Gamification system:
- CoinAnimation.tsx: Floating coin rewards with accumulator
- CrownBadge.tsx: Crown/medal display for milestones
- ProgressRing.tsx: Circular progress indicator
- progress_api.py: Backend tracking coins, crowns, streaks per unit
Also adds "Geschichte" exercise type button to UnitCard.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
New feature: After OCR vocabulary extraction, users can generate interactive
learning modules (flashcards, quiz, type trainer) with one click.
Frontend (studio-v2):
- Fortune Sheet spreadsheet editor tab in vocab-worksheet
- "Lernmodule generieren" button in ExportTab
- /learn page with unit overview and exercise type cards
- /learn/[unitId]/flashcards — Flip-card trainer with Leitner spaced repetition
- /learn/[unitId]/quiz — Multiple choice quiz with explanations
- /learn/[unitId]/type — Type-in trainer with Levenshtein distance feedback
- AudioButton component using Web Speech API for EN+DE TTS
Backend (klausur-service):
- vocab_learn_bridge.py: Converts VocabularyEntry[] to analysis_data format
- POST /sessions/{id}/generate-learning-unit endpoint
Backend (backend-lehrer):
- generate-qa, generate-mc, generate-cloze endpoints on learning units
- get-qa/mc/cloze data retrieval endpoints
- Leitner progress update + next review items endpoints
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
